Relationship between Value-Based Behaviors and Scheduled Activities of University Students before and during the COVID-19 Pandemic: A Longitudinal Cross-Lagged Model

Psychopathology. 2024;57(1):70-75. doi: 10.1159/000530909. Epub 2023 Jun 13.

Abstract

University students are in a phase during which they have various experiences typical in the academic environment and face situations that require adaptability and influence value formation. In the abnormal situation of the COVID-19 pandemic, university students' life rhythms, academic, interpersonal, and financial situations have changed drastically. In those situational cues, the value-based behavior of university students may have changed. Values provide purpose and direction for each action. Furthermore, values are situational goals that lead to specific real-time behavior. Therefore, this study aimed to examine whether there is a two-way influencing relationship between value-based behavior and scheduled activities of university students at two points in time (before the COVID-19 pandemic and during the COVID-19 pandemic). 417 university students answered a questionnaire at Times 1 and 2 (with a 1-year interval). We examined the relationship between value-based behavior and scheduled activities using a longitudinal cross-lagged model analysis. The findings of this study indicate that promoting value-based behaviors is positively associated with the frequency of value-based behaviors and scheduled activities even during anomalies such as the COVID-19 pandemic. Even in anomalous situations such as the COVID-19 pandemic, increasing value-based behaviors such as behavioral activation can improve the lives of university students. Future intervention studies should show whether behavioral activation is effective in decreasing depressive symptoms among university students even in abnormal situations such as the COVID-19 pandemic.

Keywords: COVID-19; Longitudinal cross-lagged model analysis; Scheduled activities; University students; Value-based behaviors.

Publication types

  • News

MeSH terms

  • COVID-19*
  • Humans
  • Pandemics
  • Students
  • Universities